C1000-185 · Review mode

After completing a prompt-tuning experiment, you notice that the model's accuracy in generating relevant responses is high, but the fluency and grammatical correctness of the outputs seem to be suboptimal. What statistical metric would most directly indicate this issue, and what action should you take to improve the output?

• AA. BLEU score; improve prompt engineering to ensure that the model focuses on fluency.
• BB. F1 score; increase the training dataset size to improve overall accuracy.
• CC. ROUGE score; adjust the token generation limit to ensure longer outputs.
• DD. Perplexity score; apply additional language model fine-tuning on grammatical correctness.